ProxSparse: Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs - Hongyi Liu; Rajarshi Saha; Zhen Jia; Youngsuk Park; Jiaji Huang; Shoham Sabach; Yu-Xiang Wang; George Karypis (CoRR, 2025)

Robust Semi-Decentralized Federated Learning via Collaborative Relaying - Michal Yemini; Rajarshi Saha; Emre Ozfatura; Deniz Gündüz; Andrea J. Goldsmith (IEEE Trans. Wirel. Commun., 2024)

Compressing Large Language Models using Low Rank and Low Precision Decomposition - Rajarshi Saha; Naomi Sagan; Varun Srivastava; Andrea Goldsmith; Mert Pilanci (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Compressing Large Language Models using Low Rank and Low Precision Decomposition - Rajarshi Saha; Naomi Sagan; Varun Srivastava; Andrea J. Goldsmith; Mert Pilanci (CoRR, 2024)

Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks - Rajarshi Saha; Mohamed Seif; Michal Yemini; Andrea J. Goldsmith; H. Vincent Poor (CoRR, 2024)

Low Precision Representations for High Dimensional Models - Rajarshi Saha; Mert Pilanci; Andrea J. Goldsmith (IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, 2023)

Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy - Rajarshi Saha; Mohamed Seif; Michal Yemini; Andrea J. Goldsmith; H. Vincent Poor (IEEE International Symposium on Information Theory, ISIT 2023, Taipei, Taiwan, June 25-30, 2023, 2023)

Matrix Compression via Randomized Low Rank and Low Precision Factorization - Rajarshi Saha; Varun Srivastava; Mert Pilanci (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy - Rajarshi Saha; Mohamed Seif; Michal Yemini; Andrea J. Goldsmith; H. Vincent Poor (CoRR, 2023)

Matrix Compression via Randomized Low Rank and Low Precision Factorization - Rajarshi Saha; Varun Srivastava; Mert Pilanci (CoRR, 2023)

Decentralized Optimization Over Noisy, Rate-Constrained Networks: Achieving Consensus by Communicating Differences - Rajarshi Saha; Stefano Rini; Milind Rao; Andrea J. Goldsmith (IEEE J. Sel. Areas Commun., 2022)

Efficient Randomized Subspace Embeddings for Distributed Optimization Under a Communication Budget - Rajarshi Saha; Mert Pilanci; Andrea J. Goldsmith (IEEE J. Sel. Areas Inf. Theory, 2022)

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams - Erdem Biyik; Anusha Lalitha; Rajarshi Saha; Andrea Goldsmith; Dorsa Sadigh (Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 2022)

Semi-Decentralized Federated Learning with Collaborative Relaying - Michal Yemini; Rajarshi Saha; Emre Ozfatura; Deniz Gündüz; Andrea J. Goldsmith (IEEE International Symposium on Information Theory, ISIT 2022, Espoo, Finland, June 26 - July 1, 2022, 2022)

Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms - Rajarshi Saha; Mert Pilanci; Andrea J. Goldsmith (CoRR, 2022)

Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying - Michal Yemini; Rajarshi Saha; Emre Ozfatura; Deniz Gündüz; Andrea J. Goldsmith (CoRR, 2022)

Semi-Decentralized Federated Learning with Collaborative Relaying - Michal Yemini; Rajarshi Saha; Emre Ozfatura; Deniz Gündüz; Andrea J. Goldsmith (CoRR, 2022)

Decentralized Optimization Over Noisy, Rate-Constrained Networks: How We Agree By Talking About How We Disagree - Rajarshi Saha; Stefano Rini; Milind Rao; Andrea Goldsmith (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, 2021)

Distributed Learning and Democratic Embeddings: Polynomial-Time Source Coding Schemes Can Achieve Minimax Lower Bounds for Distributed Gradient Descent under Communication Constraints - Rajarshi Saha; Mert Pilanci; Andrea J. Goldsmith (CoRR, 2021)

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams - Erdem Biyik; Anusha Lalitha; Rajarshi Saha; Andrea Goldsmith; Dorsa Sadigh (CoRR, 2021)

Decentralized optimization over noisy, rate-constrained networks: How we agree by talking about how we disagree - Rajarshi Saha; Stefano Rini; Milind Rao; Andrea Goldsmith (CoRR, 2020)

Pushing the Range Limits of Commercial Passive RFIDs - Jingxian Wang; Junbo Zhang; Rajarshi Saha; Haojian Jin; Swarun Kumar (16th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2019, Boston, MA, February 26-28, 2019, 2019)

Sparsity Aware Fast Block LMS Algorithms for MIMO Radar Imaging - Rajarshi Saha; Bijit K. Das; Mrityunjoy Chakraborty (2018 IEEE International Workshop on Signal Processing Systems, SiPS 2018, Cape Town, South Africa, October 21-24, 2018, 2018)